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Head of MarTech & Growth

AI Summary
This senior MarTech and growth-operations role builds and runs the technical systems behind lead generation, including HubSpot, marketing automation, integrations, analytics, and AI-enabled campaigns. The role owns data quality, campaign reliability, automated pre-qualification, and the structured handoff of sales-ready leads to Sales. It also develops attribution, reporting, cohort analysis, and market-intelligence recommendations for the CEO while maintaining GDPR-conscious AI governance. Success depends on hands-on technical execution as well as cross-functional alignment with Sales, Customer Success, and Product. The position is remote in Germany and requires fluent English and German.
Remote from
Germany
Salary
EUR 70k–100k / yr
Employment
Part Time
Experience
Senior
Published
Apply before
4 Dec 2026
Listing views
35
Application actions
3
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Opportunity details

About this role.

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world.

Location: Remote, Germany | Reports to: CEO | Team: Growth, Marketing Operations, Analytics

About the Role

tec4u is looking for a Head of Growth & MarTech to build, operate, and technically execute the technology infrastructure behind data-driven growth — CRM, marketing automation, analytics, and AI-powered campaigns. The HoG identifies and technically pre-qualifies potential customers through automated, technology-driven systems and ensures their structured handover to Sales.

Operating model: The HoG is accountable for the performance, quality, and reliability of the systems and campaigns they operate — including the technical execution of AI-powered campaigns and the quality of leads handed over to Sales. From the point of handover, Sales assumes full accountability for customer-facing activities: outreach, commercial qualification, opportunity development, proposals, and closing. Overall strategic responsibility for market development and expansion decisions remains with the CEO; the HoG provides data-driven recommendations to inform those decisions.

What You’ll Own

HubSpot & MarTech Stack

  • Lead implementation and administration of HubSpot as the core CRM/marketing automation platform (setup, workflows, integrations, data hygiene)
  • Design and operate the technological foundation connecting marketing, sales, and CS systems for full-funnel visibility

AI-Powered Campaign Execution & Lead Generation

  • Select and implement suitable AI technologies for prospect identification, data enrichment, and automated pre-qualification
  • Independently set up, configure, execute, monitor, and optimize automated AI-powered campaigns and processes from a technical perspective
  • Own the structured, automated handover of generated and pre-qualified leads to Sales at a clearly defined handover point
  • Operational responsibility ends at that handover point; Sales owns everything from first customer contact onward

AI-Powered Sales Tools

  • Select, implement, integrate, and operationally manage AI-powered sales and marketing tools (lead scoring, enrichment, predictive analytics, prospecting automation)
  • Evaluate commercial value and ROI of candidate tools before implementation, including HubSpot integration
  • Accountable for technical performance, data quality, reliability, and continuous optimization — not for commercial use of these tools by Sales

Growth & Revenue Intelligence

  • Build attribution models and reporting frameworks showing campaign and system performance
  • Translate data into recommendations for the CEO and functional leaders to inform strategic and expansion decisions
  • Continuously test and iterate on growth experiments and automation using a data-first approach

Expansion & Market Intelligence

  • Analyze cohort, retention, and expansion-revenue data to surface potential new segments and opportunities
  • Present data-backed findings and recommendations to the CEO quarterly; final decisions on market development and expansion remain with the CEO

AI & GTM Enablement

  • Pilot AI agents and automation across the lead generation and pre-qualification process
  • Build internal AI literacy across the growth/marketing team
  • Establish guardrails for responsible AI use — GDPR compliance, data privacy, accuracy checks, human-in-the-loop review

Cross-Functional Alignment

  • Partner with Sales, CS, and Product on shared definitions (e.g., what qualifies as a “sales-ready lead”) and a clean handover process
  • Act as the technical and data backbone that Sales and Marketing leadership rely on, without owning their commercial outcomes

How Success Is Measured

  • Technical performance and reliability of campaigns, automations, and the MarTech stack
  • Automation efficiency and system uptime/quality
  • Volume and quality of leads generated, pre-qualified, and handed over to Sales
  • Data quality and attribution/reporting accuracy

What You’ll Bring

  • English & German fluency (required)
  • 5+ years in growth, MarTech, or marketing operations, with hands-on HubSpot implementation experience
  • Proven experience building and operating automated lead generation and pre-qualification systems
  • Strong technical fluency with CRM/automation platforms, integrations (APIs, webhooks), and data pipelines
  • Experience selecting, implementing, and managing AI-powered sales/marketing tools
  • Sharp analytical skills — attribution modeling, campaign diagnostics, reporting
  • Practical knowledge of AI/automation tools for GTM, with GDPR awareness
  • Comfortable operating within a clearly scoped technical/operational mandate, handing off commercial ownership to Sales

Nice to Have

  • HubSpot certification(s)
  • Startup/PE-backed scaling experience
  • SQL/scripting skills
  • French

What Makes This Role Attractive

You’ll own the growth engine end-to-end — from lead generation through customer expansion — with direct visibility to the CEO. You focus on systems, data, and signal; Sales and CS own the relationships and the close. This is a builder’s role: architecting
infrastructure one day, digging into a broken workflow or a churn signal the next.

The expected base salary for this position is EUR 70,000–100,000 per year, based on full-time employment (100%), excluding annual bonus and equity (when applicable). For part-time arrangements, salary is adjusted pro rata. The final offer within this range depends on job-related skills, experience, location and market conditions.

Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed.

Recruitment Notice

Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation.

Beware of Recruitment Scams

We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment.

Protect yourself by following these steps:

  • Verify that all communications from our recruiting team come from an @banyansoftware.com email address.
  • Remember, employers will never request payment or banking information during the hiring process.
  • If you receive a suspicious message, do not respond — instead, forward it to careers@banyansoftware.com and/or report it to the platform where you received it.

Your safety and security are important to us. Thank you for staying vigilant.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role combines senior-level ownership of a MarTech architecture with hands-on implementation, AI-tool evaluation, data analysis, and operational accountability. It requires independent judgment while coordinating clear boundaries and handoffs across several functions.

Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Market rate
€85,000
EU market range (per year)€70k–€105k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly states a full-time annual base-salary range of EUR 70,000–100,000, excluding bonus and equity; part-time compensation is adjusted pro rata. The midpoint is EUR 85,000 per year. Estimated German-market base pay for a senior hands-on Head of MarTech & Growth is approximately EUR 70,000–105,000 per year; this is an AI estimate, not verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a HubSpot implementation you led from initial setup through operational adoption.

I would explain the business objectives, data model, lifecycle stages, workflows, integrations, governance rules, and reporting created. I would also quantify improvements such as faster lead routing, better data completeness, or increased conversion from qualified lead to Sales acceptance.

How would you design an automated process for identifying and pre-qualifying prospects before handing them to Sales?

I would define the ideal customer profile and sales-ready criteria with Sales, connect compliant enrichment sources, build scoring and validation workflows, and establish routing rules with clear ownership at handoff. I would continuously monitor quality, false positives, conversion signals, and data-privacy controls.

How do you evaluate whether an AI-powered sales or marketing tool is worth implementing?

I assess use case fit, integration effort, data-security and GDPR posture, expected operational benefit, total cost, vendor reliability, and measurable success criteria. I prefer a controlled pilot with baseline metrics before scaling a tool across the workflow.

What attribution framework would you use to evaluate campaign performance in a complex B2B funnel?

I would combine lifecycle-stage reporting with multi-touch attribution, source governance, and opportunity-influence reporting. The model should show both channel contribution and data confidence, while avoiding overclaiming causality where tracking is incomplete.

How would you maintain strong alignment with Sales while not owning commercial outcomes?

I would document shared definitions for lead stages, service-level expectations, and the exact technical handoff point. Regular reviews of lead quality, routing issues, and feedback loops would allow the growth function to improve systems while Sales retains ownership of outreach and closing.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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